NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 8 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Samuelsson, Ingrid Pramling; Björklund, Camilla – International Journal of Early Years Education, 2023
Play is considered an important aspect of Early Childhood Education and Care. However, the relationship between play and learning is often taken for granted both in research and praxis. In this article, we study our own research group's empirical work over a 40-year period, and how we have used the concepts of play and learning. We observed that…
Descriptors: Play, Learning Processes, Relationship, Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Ubilla, Francisca M.; Vásquez, Claudia; Rojas, Francisco; Gorgorió, Núria – Statistics Education Research Journal, 2021
We consider the ability to complete an investigative cycle as an indicator of the robustness of students' statistical knowledge. From this standpoint, we analyzed the written reports of primary education student teachers when they developed an investigative cycle in a Chilean and a Spanish university. In their development of the stages of the…
Descriptors: Foreign Countries, Teacher Education Programs, Elementary School Teachers, Statistics Education
Peer reviewed Peer reviewed
Direct linkDirect link
Sattar, Simeen – Journal of Chemical Education, 2019
Pigments, dyes, and transition-metal compounds are made in courses across the undergraduate chemistry curriculum, but student characterization of these compounds' most striking features, their colors, seldom goes beyond verbal descriptions. Affordable, hand-held, fiber-optic reflectance spectrophotometers make it possible to advance students'…
Descriptors: Chemistry, Science Instruction, Undergraduate Students, Color
Peer reviewed Peer reviewed
Direct linkDirect link
Abel, Todd; Poling, Lisa – Teaching Statistics: An International Journal for Teachers, 2015
Working with practicing teachers, this article demonstrates, through the facilitation of a statistical activity, how to introduce and investigate the unique qualities of the statistical process including: formulate a question, collect data, analyze data, and interpret data.
Descriptors: Statistical Analysis, Concept Formation, Data Collection, Data Interpretation
Peer reviewed Peer reviewed
Direct linkDirect link
Wilson, Rachel E. – International Journal of Qualitative Studies in Education (QSE), 2015
I argue that Ricoeur's "preunderstandings" can be used as a heuristic to aid researchers who collect narratives as data (1) to identify cultural meanings that become resources for participants' positioning work, (2) to ground the identified cultural meanings in participants' experiences, and (3) to understand participants'…
Descriptors: Hermeneutics, Personal Narratives, Data Collection, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Delen, Ibrahim; Krajcik, Joseph – International Journal of Science Education, 2015
Explanation studies underlined the importance of using evidence in support of claims. However, few studies have focused on students' use of others' data (second-hand data) in this process. In this study, students collected data from a local water source and then took all the data back to the classroom to create scientific explanations by using…
Descriptors: Secondary School Science, Middle School Students, Grade 6, Science Process Skills
Peer reviewed Peer reviewed
Phillips, Mark P. – Science Activities, 1992
Describes the construction of durable, inexpensive and large sand-hourglasses for use in controlled experiments that allow students to observe, infer, measure, record data, and predict. This hands-on activity is designed to take place over a three-day interval. Includes materials needed, techniques, procedures, follow-up activities, and resource…
Descriptors: Concept Formation, Data Collection, Data Interpretation, Discovery Learning
Peer reviewed Peer reviewed
Hitch, Chris; Armstrong, Georganna – Arithmetic Teacher, 1994
Presents four sets of activities to develop the concepts of data analysis and graphing. Students estimate sample populations using beans, examine graphs from newspapers and magazines, predict the most popular color of cars, and simulate quality control in a manufacturing process. (MDH)
Descriptors: Concept Formation, Data Analysis, Data Collection, Data Interpretation